Engineering Insights
Hard-won lessons, system design teardowns, and architecture guides from the frontlines of data engineering.
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Data Observability in 2026: Monte Carlo vs Great Expectations vs Soda — A Data Engineer's Honest Comparison
A practitioner comparison of data observability tools in 2026 — Monte Carlo, Great Expectations, Soda, and Elementary — covering real integration code, production trade-offs, cost analysis, and when to build vs buy.
CI/CD for Data Pipelines: The Production Guide
Data pipelines are stateful — software CI/CD patterns don't transfer cleanly. Schema validation, data quality gates, environment parity, and the 7-stage lifecycle that prevents 3 AM failures, with working dbt + Airflow + Great Expectations code.
Snowflake vs BigQuery in 2026: A Cost Analysis
We ran the same workload — 8 TB scanned daily, mixed ad-hoc and scheduled queries, three BI tools — on both Snowflake and BigQuery for 30 days. The winner depends on something most comparisons get wrong.